Antonio LaTorre

58 papers A 4B 11C 3Misc 1Journal 25Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
Artificial Intelligence for the Future of Construction.
SMARTINDUSTRY
Ivan Izonin, Roman Tkachenko, Nataliya Shakhovska, Rosana Caro, Antonio LaTorre, Stergios Aristoteles Mitoulis
2025 — conf
Catalogue of construction materials for Zero Emission Buildings design based on Artificial Intelligence.
SMARTINDUSTRY
Arturo Martínez, Gloria Pérez, Antonio LaTorre, Lorena Cruz, Santiago Muelas, José-María Peña
2025 J jnl
Prescriptive tool for zero-emissions building fenestration design using hybrid metaheuristic algorithms.
CoRR
Rosana Caro, Lorena Cruz, Arturo Martínez, Pablo S. Naharro, Santiago Muelas, Kevin King Sancho, Elena Cuerda, Maria del Mar Barbero-Barrera, Antonio LaTorre
2024 J jnl
3D Segmentation of Neuronal Nuclei and Cell-Type Identification using Multi-channel Information.
CoRR
Antonio LaTorre, Lidia Alonso-Nanclares, José-María Peña, Javier DeFelipe
2024 J jnl
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems.
CoRR
Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
2024 — conf
Artificial Intelligence for the Future of Construction - abstract.
SMARTINDUSTRY
Ivan Izonin, José M. Peña, Antonio LaTorre
2024 J jnl
Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation.
CoRR
Pablo S. Naharro, Pablo Toharia, Antonio LaTorre, José-María Peña
2024 J jnl
Military Applications of Machine Learning: A Bibliometric Perspective.
CoRR
José Javier Galán, Ramón Alberto Carrasco, Antonio LaTorre
2024 J jnl
Model calibration using a parallel differential evolution algorithm in computational neuroscience: simulation of stretch induced nerve deficit.
CoRR
Antonio LaTorre, Man Ting Kwong, Julián A. García-Grajales, Riyi Shi, Antoine Jérusalem, José-María Peña
2024 J jnl
Tourism destination events classifier based on artificial intelligence techniques.
CoRR
Miguel Camacho-Ruiz, Ramón Alberto Carrasco, Gema Fernández-Avilés, Antonio LaTorre
2023 — conf
Evolutionary-Based Generative Design for Electric Transmission Towers.
ICAISC (1)
Hugo Moreno, Pablo S. Naharro, Antonio LaTorre, José-María Peña
2023 — conf
Sequential Hybridization of Online Surrogate Models for Continuous Optimization.
GECCO Companion
Pablo S. Naharro, José-María Peña, Antonio LaTorre
2023 J jnl
Tourism destination events classifier based on artificial intelligence techniques.
Appl. Soft Comput.
Miguel Camacho-Ruiz, Ramón Alberto Carrasco, Gema Fernández-Avilés, Antonio LaTorre
2022 J jnl
Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation.
Swarm Evol. Comput.
Pablo S. Naharro, Pablo Toharia, Antonio LaTorre, José-María Peña
2021 J jnl
3D segmentation of neuronal nuclei and cell-type identification using multi-channel information.
Expert Syst. Appl.
Antonio LaTorre, Lidia Alonso-Nanclares, José M. Peña, Javier DeFelipe
2021 J jnl
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems.
Swarm Evol. Comput.
Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
2021 J jnl
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms.
Swarm Evol. Comput.
Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Poyatos, Javier Del Ser, Francisco Herrera
2021 C conf
EO-Alert: A Satellite Architecture for Detection and Monitoring of Extreme Events in Real Time.
IGARSS
Murray Kerr, Stefania Tonetti, Stefania Carnara, Juan Ignacio Bravo, Robert Hinz, Antonio LaTorre, Francisco Membibre, Alexis Ramos, Stefan Wiehle, Otto Koudelka, Enrico Magli, Riccardo Freddi, Silvia Fraile, Cecilia Marcos
2021 — conf
Surrogate-based optimisation for a hospital simulation scenario using pairwise classifiers.
GECCO Companion
Pablo S. Naharro, Antonio LaTorre, José-María Peña
2021 — conf
Towards Very-Low Latency Storm Nowcasting through AI-Based On-Board Satellite Data Processing.
CIKM Workshops
Robert Hinz, Álvaro Morón, Juan Ignacio Bravo, Murray Kerr, Cecilia Marcos, Antonio LaTorre, Francisco Membibre
2021 C conf
Very Low Latency Architecture for Earth Observation Satellite Onboard Data Handling, Compression, and Encryption.
IGARSS
Michele Caon, Paolo Motto Ros, Maurizio Martina, Tiziano Bianchi, Enrico Magli, Francisco Membibre, Alexis Ramos, Antonio LaTorre, Murray Kerr, Stefan Wiehle, Helko Breit, Dominik Günzel, Srikanth Mandapati, Ulrich Balss, Björn Tings
2020 J jnl
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics.
CoRR
Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Del Ser, Francisco Herrera
2020 J jnl
Model calibration using a parallel differential evolution algorithm in computational neuroscience: Simulation of stretch induced nerve deficit.
J. Comput. Sci.
Antonio LaTorre, Man Ting Kwong, Julián A. García-Grajales, Riyi Shi, Antoine Jérusalem, José-María Peña
2020 B conf
On The Role Of Execution Order In Hybrid Evolutionary Algorithms.
CEC
Antonio LaTorre, Daniel Molina
2019 B conf
Comparing Large-Scale Global Optimization Competition winners in a real-world problem.
CEC
Daniel Molina, Arthur R. Nesterenko, Antonio LaTorre
2019 J jnl
Fostering interpretability of data mining models through data perturbation.
Expert Syst. Appl.
Seddik Belkoura, Massimiliano Zanin, Antonio LaTorre
2018 J jnl
An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions.
Cogn. Comput.
Daniel Molina, Antonio LaTorre, Francisco Herrera
2018 B conf
SHADE with Iterative Local Search for Large-Scale Global Optimization.
CEC
Daniel Molina, Antonio LaTorre, Francisco Herrera
2018 B conf
Toolkit for the Automatic Comparison of Optimizers: Comparing Large-Scale Global Optimizers Made Easy.
CEC
Daniel Molina, Antonio LaTorre
2017 B conf
A comparison of three large-scale global optimizers on the CEC 2017 single objective real parameter numerical optimization benchmark.
CEC
Antonio LaTorre, José-María Peña
2017 B conf
On the scalability of population restart mechanisms on large-scale global optimization.
CEC
Antonio LaTorre, José-María Peña
2015 J jnl
A comprehensive comparison of large scale global optimizers.
Inf. Sci.
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
2014 — conf
Designer-driven 3D buildings generated using Variable Neighborhood Search.
CIG
José María Peña Sánchez, Javier Viedma, Santiago Muelas, Antonio LaTorre, Luís Peña
2014 J jnl
Distributed Estimation of Distribution Algorithms for continuous optimization: How does the exchanged information influence their behavior?
Inf. Sci.
Santiago Muelas, Alexander Mendiburu, Antonio LaTorre, José María Peña Sánchez
2013 J jnl
A variable neighborhood search algorithm for the optimization of a dial-a-ride problem in a large city.
Expert Syst. Appl.
Santiago Muelas, Antonio LaTorre, José María Peña Sánchez
2013 J jnl
Evaluating the Multiple Offspring Sampling framework on complex continuous optimization functions.
Memetic Comput.
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
2013 B conf
Large scale global optimization: Experimental results with MOS-based hybrid algorithms.
IEEE Congress on Evolutionary Computation
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
2013 J jnl
Segmentation of neuronal nuclei based on clump splitting and a two-step binarization of images.
Expert Syst. Appl.
Antonio LaTorre, Lidia Alonso-Nanclares, Santiago Muelas, José María Peña Sánchez, Javier DeFelipe
2013 — conf
Soft computing for content generation: Trading market in a basketball management video game.
CIG
José María Peña Sánchez, Ernestina Menasalvas Ruiz, Santiago Muelas, Antonio LaTorre, Luís Peña, Sascha Ossowski
2012 J jnl
A new methodology for the automatic creation of adaptive hybrid algorithms.
Intell. Data Anal.
Santiago Muelas, Antonio LaTorre, José María Peña Sánchez
2012 B conf
Multiple Offspring Sampling in Large Scale Global Optimization.
IEEE Congress on Evolutionary Computation
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
2011 J jnl
A MOS-based dynamic memetic differential evolution algorithm for continuous optimization: a scalability test.
Soft Comput.
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
2011 B conf
A differential evolution algorithm for the detection of synaptic vesicles.
IEEE Congress on Evolutionary Computation
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez, Roberto Santana, Ángel Merchán-Pérez, José-Rodrigo Rodríguez
2011 A conf
A direct optimization approach to the P300 speller.
GECCO
Roberto Santana, Santiago Muelas, Antonio LaTorre, José María Peña Sánchez
2011 B conf
Benchmarking a hybrid DE-RHC algorithm on real world problems.
IEEE Congress on Evolutionary Computation
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
2010 J jnl
A new initialization procedure for the distributed estimation of distribution algorithms.
Soft Comput.
Santiago Muelas, José María Peña Sánchez, Antonio LaTorre, Víctor Robles
2010 — conf
Automatically Modeling Hybrid Evolutionary Algorithms from Past Executions.
EvoApplications (1)
Santiago Muelas, José María Peña Sánchez, Antonio LaTorre
2010 — conf
Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed.
GECCO (Companion)
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
2010 — conf
Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed.
GECCO (Companion)
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
2010 J jnl
Learning hybridization strategies in evolutionary algorithms.
Intell. Data Anal.
Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, Alex Alves Freitas
2009 C conf
A Memetic Differential Evolution Algorithm for Continuous Optimization.
ISDA
Santiago Muelas, Antonio LaTorre, José María Peña Sánchez
2009 — —
A framework for hybrid dynamic evolutionary algorithms : multiple offspring sampling (MOS).
Antonio LaTorre
2009 A conf
Hybrid evolutionary algorithms for large scale continuous problems.
GECCO
Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, Manuel Zaforas
2009 B conf
Quality measures to adapt the participation in MOS.
IEEE Congress on Evolutionary Computation
Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, Carlos Pascual
2009 Misc conf
Tentative Exploration on Reinforcement Learning Algorithms for Stochastic Rewards.
HAIS
Luís Peña, Antonio LaTorre, José María Peña Sánchez, Sascha Ossowski
2008 — ch.
Machine Learning to Analyze Migration Parameters in Parallel Genetic Algorithms.
Innovations in Hybrid Intelligent Systems
Santiago Muelas, José María Peña Sánchez, Víctor Robles, Antonio LaTorre, P. de Miguel
2008 A conf
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems.
GECCO
Antonio LaTorre, José María Peña Sánchez, Víctor Robles, Santiago Muelas
2008 A conf
Voronoi-initializated island models for solving real-coded deceptive problems.
GECCO
Santiago Muelas, José María Peña Sánchez, Víctor Robles, Antonio LaTorre